◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Deying Li

26 papers hereh-index 10313 citations63 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author13
  • last author13

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV20
  • cs.RO2
  • cs.AI1
  • cs.DS1
  • cs.HC1
  • cs.MA1
same name
  • Deying Li — 6 papers, h 31
  • Deying Li — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedRoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment

10 citations · 20 across the 25 of their papers we have counts for

collaborators
Showing 2026 · cs.CVShow all

3 papers · 2 filters

cs.CV2026

UECP: Uncertainty-Enhanced Collaborative Perception

Kang Yang, Tianci Bu, Peng Wang +3

Collaborative perception serves as a pivotal solution to enhance the perception capability of individual agents in autonomous driving, where a core challenge lies in seeking reliab…

cs.CV2026

BOLT: Online Lightweight Adaptation for Preparation-Free Heterogeneous Cooperative Perception

Kang Yang, Tianci Bu, Peng Wang +2

Most existing heterogeneous cooperative perception methods depend on prior preparation like offline joint training or tailored collaborator-model adaptation. Such preprocessing is,…

cs.CV2026

EIMC: Efficient Instance-aware Multi-modal Collaborative Perception

Kang Yang, Peng Wang, Lantao Li +4

Multi-modal collaborative perception calls for great attention to enhancing the safety of autonomous driving. However, current multi-modal approaches remain a ``local fusion to com…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.